The paper reports the GLEAM method, its application, and results of the implementation of a software tool for the automatic generation of collision free moves for ABB industrial robot control. During the generation of...
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The paper reports the GLEAM method, its application, and results of the implementation of a software tool for the automatic generation of collision free moves for ABB industrial robot control. During the generation of collision free move statements a multi-criteria optimization is performed. The generation and optimization is done with the help of a genetic algorithm and an evolutionary strategy. The industrial application was done during a sabbatical period together with ABB robotics in Vasteras, using ABB industrial robot control and an IRB 2400 robot. The presentation describes the work items to be done, and discusses the problems to be solved.
This paper proposes a rule-based dynamic scheduler for a flexible assembly system. We first introduce a flexible control system developed by the intelligent Robot and Automation Laboratory in National Taiwan Universit...
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This paper proposes a rule-based dynamic scheduler for a flexible assembly system. We first introduce a flexible control system developed by the intelligent Robot and Automation Laboratory in National Taiwan University. Based on that control system, the relationship between the control system and the scheduler is characterized. With focus on realization, hardware limitations such as long computation time and excessive memory-space usage are relaxed by incorporating several heuristic measures. The present work is applied to the simulated robotized flexible assembly system in our laboratory.
The future issues of intelligentcontrol are demonstrated first. These issues include the world representation of a control system, models of cognitive controllers, suggestions for research on intelligent machines, an...
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ISBN:
(纸本)0780342534
The future issues of intelligentcontrol are demonstrated first. These issues include the world representation of a control system, models of cognitive controllers, suggestions for research on intelligent machines, and control modes. Then a prospective development of intelligentcontrol is made considering three aspects: newer frames of theory; better technology integration; and more mature methodologies of application.
Summary form only given as follows. We present experimental results of several control algorithms for a nonholonomic underactuated 2-DOF robot. The first joint of the robot consists of a DD-motor whereas the second jo...
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Summary form only given as follows. We present experimental results of several control algorithms for a nonholonomic underactuated 2-DOF robot. The first joint of the robot consists of a DD-motor whereas the second joint has no actuator but a holding brake. We derive a control law using non-collocated linearization for the uncertain parameter case and apply PD, LQG and VS controllers. In experiments the different control laws are quantitatively compared. An intelligent brake algorithm is presented.
In this paper is studied the implementation of a variable structure algorithm in the position/force hybrid control of robotic manipulators. The robustness and performances of the system are analysed both in terms of t...
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In this paper is studied the implementation of a variable structure algorithm in the position/force hybrid control of robotic manipulators. The robustness and performances of the system are analysed both in terms of time and frequency responses.
Mobile manipulators operating in field environments are susceptible to dangerous and costly rollover or tipover instabilities, particularly when operating on an uneven terrain or when exerting large forces or moments....
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Mobile manipulators operating in field environments are susceptible to dangerous and costly rollover or tipover instabilities, particularly when operating on an uneven terrain or when exerting large forces or moments. By monitoring the static and dynamic tipover stability margins of a mobile manipulator it is possible to predict such tipover and take appropriate actions to prevent the tipover from occurring. This paper describes a scheme for automatic tipover prediction, and prevention, which uses the static and dynamic force-angle measures of tipover stability margin. Time-until-tipover prediction is accomplished using estimated gradients of the tipover stability margins, and prevention is accomplished using a combination of the manipulator and platform actuators. Simulation results demonstrate the efficiency and promise of the proposed scheme for automatic tipover prevention.
This paper presents a generalized approach to handling of 3D deformable objects. Our task is to learn robotic grasping characteristics for a non-rigid object represented by a physically-based model. The model is deriv...
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This paper presents a generalized approach to handling of 3D deformable objects. Our task is to learn robotic grasping characteristics for a non-rigid object represented by a physically-based model. The model is derived from discretizing the object into a network of interconnected particles and springs. Using Newtonian equations, we model the particle motion of a deformable object and thus calculate the deformation characteristics of the object. These deformation characteristics allow us to learn the required minimum forces necessary to successfully grasp the object and by linking these parameters into a learning table, we can subsequently retrieve the forces necessary to grasp an object presented to the system during run time. This new method of learning is presented and the results of a virtual simulation are shown.
The paper describes design issues of a mobile service robot for health care applications and domestic automation. Key components required for achieving semi-autonomous operation are surveyed, including: 1. a highly ma...
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The paper describes design issues of a mobile service robot for health care applications and domestic automation. Key components required for achieving semi-autonomous operation are surveyed, including: 1. a highly maneuverable locomotion platform, 2. an anthropomorphous manipulator, 3. a reliable multisensor system, and a 4. multimodal human-robot-interface. In addition, related information processing and control methodologies are presented. Special emphasis is put on a system architecture for integration of the individual components into a full-size service robot. Performance and usefulness of the proposed approaches are demonstrated through experiments in various real-world service scenarios.
The NavChair Assistive Wheelchair Navigation System is being developed to reduce the cognitive and physical requirements of operating a power wheelchair. The NavChair is an adaptive shared control system, shared in th...
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The NavChair Assistive Wheelchair Navigation System is being developed to reduce the cognitive and physical requirements of operating a power wheelchair. The NavChair is an adaptive shared control system, shared in that control is divided between the wheelchair and the wheelchair operator and adaptive in that how control is divided between the wheelchair and the wheelchair operator varies based on current task requirements. This paper describes the NavChair's method for automatically allocating control between the wheelchair and its operator and presents results evaluating the performance of the NavChair's automatic adaptation mechanism from an experiment in which able-bodied subjects used voice control to steer the NavChair through a navigation task requiring several transitions between operating modes.
This paper introduces a learning algorithm to automatically learn membership functions of fuzzy behaviours for a mobile robot reactive control system. Genetic algorithms are used to implement the learning processes. T...
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This paper introduces a learning algorithm to automatically learn membership functions of fuzzy behaviours for a mobile robot reactive control system. Genetic algorithms are used to implement the learning processes. The learning process emphasises the functionalities of individual behaviours, various types of training environments and a simple-to-complex multistage learning course for the purpose of building a real world mobile robot. The effectiveness of the algorithm is presented.
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